Occurence of mutations of SARS-CoV-2 by Region

SARS-CoV-2 mutation frequency in different geographic areas. Eight novel recurrent hotspots mutations (namely 1397, 2891, 14408, 17746, 17857, 18060, 23403 and 28881) and 5 hotspots already reported in literature (namely 3036, 8782, 11083, 28144 and 26143) were subdivided into 4 geographic areas: Asia (n = 71), Oceania (n = 15), Europe (n = 101), North America (n = 33). The mutation frequency was estimated for each of them, by normalizing the number of genomes carrying a given mutation in a geographic area, by the overall number of retrieved genomes per geographic area; the graph shows the cumulative mutation frequency of all given mutations present in each geographic area. Mutation locations in viral genes are reported in the legend as well as the proteins (i.e. non-structural protein, nsp) presenting these mutations. The figure shows that genomes from European and North American patients present an increase in mutation frequency compared to Asia. It is also possible to observe that Europe and North America show a differential pattern of mutations: mutation 14408 (red), 23403 (black), 28881 (electric blue) and 26143 (light green) are present mostly in Europe, whereas 18060 (pink), 17857 (purple) and 17746 (light blue) are present mostly in North America

Fig 1. SARS-CoV-2 mutation frequency in different geographic areas

SARS-CoV-2 Mutation occurrence over time divided per geographic area. Eight novel recurrent hotspots mutations (namely 1397, 2891, 14408, 17746, 17857, 18060, 23403 and 28881) and 5 hotspots already reported in literature (namely 3036, 8782, 11083, 28144 and 26143) were subdivided first into 5 period subgroups: December 2019 (n = 5), 1st–15th Jan. 2020 (n = 15), 16th–31st Jan 2020 (n = 52), 1st–15th Feb 2020 (n = 13), 16th–29th Feb 2020 (n = 55) and 1st–13th Mar 2020 (n = 80). Next, for each time group, a further subclassification per geographic area (Asia, Oceania, Europe and North America) was performed (number of genomes in each area are reported in the figure inset). The number of mutations in each area was normalized by the number of genomes analyzed for each period of time. This figure shows that mutation frequency increases over time during viral spread out of Asia. No mutations were observed in the Asian genomes analyzed in December 2019. In the time group of February 16th–29th, a defined cluster of mutations emerged in Europe; in March 1st–13th, a different cluster of mutations emerged in North America

Fig 2. SARS-CoV-2 Mutation occurrence over time divided per geographic area

The type and number of mutations can differ based on region. SARS-CoV-2 in Europe and North America were found to have higher rates and variety of mutations compared to regions closer to the origin of the virus like Asia. Differences in mutations per region increased overtime outside of Asia. 

University of Michigan - Ann Arbor

Investigations are still ongoing in determining the current evolution and mutating nature of SARS-CoV-2, which will aid scientists in understanding more about this virus and in developing effective treatments and vaccines against the disease. 

Evolution and Mutations of SARS-CoV-2

Pachetti, M., Marini, B., Benedetti, F. et al. Emerging SARS-CoV-2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant. J Transl Med 18, 179 (2020). https://doi.org/10.1186/s12967-020-02344-6

Emerging SARS-CoV-2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant

Mutation "hotspots" of SARS-CoV-2

Mutations of SARS-CoV-2 can differ by Region

Evolution of SARS-CoV-2 by Origin

Through careful examination of viral structural/non-structural proteins as well as infection mechanism, the 2003 SARS-CoV and the current 2019nCoV are thought to be very similar in phylogenic. Based on complete sequencing, the current 2019-nCoV is evolutionary related to SARS-CoV long range-conserved amino acid sequences with a few variations in the accessory proteins and base substitutions in non-structural proteins (Wu et al., 2020). Even before 2003, many different coronaviruses have similar conserved proteins and replication pathway all leading to annually 15-30% of respiratory infections in humans. Individuals of older age, with pre-existing illnesses, or with compromised immunity are the most susceptible to infections and often associated with the highest mortality. 
Currently, the 2019-nCoV has been reported to have the highest pathenogenicity and fatality out of all coronaviruses. This can be explained based on differences in tolerance to genetic variability. For instance, both the 2003 SARS-CoV and current 2019-nCoV are very tolerant to genetic variations. Both strains of coronaviruses have shown their potential to pass through species barrier from bats, pangolins, mice, and bovine all the way to mammals including humans (Guan et al., 2003). In other words, higher tolerance to genetic variability could imply greater chances of horizontal gene transfer across species. Looking back to 2003, the same characteristics can be seen in SARS-CoV, where it was hypothesized to be found first in Chinese horseshoe bats in Guangdong Province.

Phylogeny and Tropism

An analysis of 86 complete or near-complete SARS-CoV-2 genomes acquired from GISAID was done to examine mutations in the SARS-CoV-2 genome. The samples of SARS-CoV-2 were taken from patients in China, the USA, Australia, Japan, France, Singapore, England, Taiwan, South Korea, Belgium, Germany, and Vietnam.

Genetic diversity and evolution of SARS-CoV-2

- COVID-19 Virology in Comparison to SARS-CoV and MERS
- Comparative analyses of SAR-CoV2 genomes from different geographical locations and other coronavirus family genomes reveals unique features potentially consequential to host-virus interaction and pathogenesis

Comparison of SARS-CoV-2 genomes to other related genomes

- Effects of a major deletion in the SARS-CoV-2 genome on the severity of infection and the inflammatory response: an observational cohort study

Deletions in the SARS-CoV-2 Genome

Researchers at the University of Bologna conducted the largest genomic study of SARS-CoV-2 to date, analyzing 48,635 different genomes and their mutations. There are currently six known strains around the world with differential geographic and genomic distribution, though there is little genetic variability between them, which is beneficial because a viable vaccine would likely be effective in fighting all of them.


The Six Strains of COVID-19

As of mid-December 2020, a new strain of SARS-CoV-2, the virus that causes COVID-19, was discovered in the United Kingdom. According to recent studies, this new strain can be up to 70% more transmissible.

UK Variant of SARS-CoV-2

A new strain of the SARS-CoV-2 virus was discovered in the Eastern Cape of South Africa as of the end of 2020. This new strain is called 501Y.V2.

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